Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Miholjević
1
72 kgJuneau
3
67 kgSchmidbauer
5
69 kgKmínek
6
75 kgMarcellusi
7
62 kg
1
72 kgJuneau
3
67 kgSchmidbauer
5
69 kgKmínek
6
75 kgMarcellusi
7
62 kg
Weight (KG) →
Result →
75
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIHOLJEVIĆ Fran | 72 |
| 3 | JUNEAU Francis | 67 |
| 5 | SCHMIDBAUER Maximilian | 69 |
| 6 | KMÍNEK Vojtěch | 75 |
| 7 | MARCELLUSI Martin | 62 |